NOVA IMS - Information Management School
Mestrado em Ciência e Sistemas de Informação Geográfica - Especialização em Ciência dos Dados Geoespaciais
Lisbon, Portugal
DURATION
2 Years
LANGUAGES
Portuguese
PACE
Full time
APPLICATION DEADLINE
Request application deadline
EARLIEST START DATE
Sep 2024
TUITION FEES
EUR 4,200
STUDY FORMAT
Blended, Distance Learning
Ideal Students
A quem se destina?
A especialização em Ciência dos Dados Geoespaciais visa formar gestores e funcionários para analisar, modelar e visualizar informações geográficas em ambientes com grandes quantidades de dados.
Este Programa é leccionado em português e destina-se a todos os cidadãos dos países africanos de língua oficial portuguesa, mas também de Portugal, Brasil, Timor e comunidades portuguesas de todo o mundo, que estejam interessados em prosseguir os seus estudos através da obtenção de um mestrado numa universidade portuguesa.
Admissions
Scholarships and Funding
The NOVA IMS programs, offer a unique learning experience, combining theory with the application of the best and most innovative teaching practices.
If you are interested in studying at NOVA IMS and want to explore scholarship and award opportunities, this page is your starting point to discover the options available in the different programs.
Curriculum
This program lasts 4 semesters: 2 correspond to the curricular component and 2 to the development of a thesis, or work project, in a total of 120 ECTS.
For the conclusion of the curricular component (1st and 2nd semesters), students have to complete 60 ECTS, of which 52,5 are mandatory and 7,5 correspond to elective course units, to be chosen by the students.
Fall Semester (1st Semester)
- Cartographic Sciences and Data Acquisition
- Geographic Information Systems and Science
- Spatial Databases
- Spatial Data Analysis and Visualization
- Geospatial Programming
- Spatial Statistics
Spring Semester (2nd Semester)
- GIS and Modelling
- GIS in Organizations
- Geospatial Data Mining
- Remote Sensing
- Geospatial Intelligence (GEOINT)
- Programming for Geospatial Web Services
2nd Year
- Thesis, Work Project, and Professional Internship Report
- Thesis / Project / Internship Report Follow Up
B-Learning Format
Fall Semester (1st Semester)
- Geographic Information Systems and Science
- Geospatial Data Mining
- Remote Sensing
- Spatial Data Analysis and Visualization
- Spatial Statistics
Spring Semester (2nd Semester)
In the Spring Semester, students may choose among the course units of the e-learning format, being also possible to enroll in the postgraduate and master program's course units (subject to approval by the Coordinator of the program).
2nd Year
- Thesis, Work Project, and Professional Internship Report
- Thesis / Project / Internship Report Follow Up
Program Outcome
Goals
This program provides the knowledge and skills needed to:
- Understand and contribute to the great technical and social challenges created by computing environments rich in geospatial data including its architecture, integrity, and management
- Understand how geospatial data can be acquired and used to support various analysis, modeling, and visualization processes in large data environments
- Understand how artificial intelligence, programming, and data mining can be used to intelligently enhance the typical concepts and flows of geographic information science and thus provide institution-centric solutions to a wide variety of challenges and societal problems across public and private sectors.